{"id":"W4391404806","doi":"10.3390/world5010005","title":"Investigating Loss and Damage in Coastal Region of Bangladesh from Migration as Adaptation Perspective: A Qualitative Study from Khulna and Satkhira District","year":2024,"lang":"en","type":"article","venue":"World","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; St. Mary's University","funders":"","keywords":"Perspective (graphical); Adaptation (eye); Qualitative research; Geography; Environmental planning; Environmental resource management; Sociology; Environmental science; Biology; Computer science; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005500549,0.0001199518,0.0001731203,0.000229507,0.000165983,0.0001652846,0.00005845935,0.00005092844,0.00003006801],"category_scores_gemma":[0.0005464187,0.0001273625,0.00002309821,0.0007593342,0.0002634852,0.0005746015,0.00002986965,0.0001330278,0.000003133402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002083127,"about_ca_system_score_gemma":0.0001173223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2335538,"about_ca_topic_score_gemma":0.8383102,"domain_scores_codex":[0.9983042,0.0005946642,0.0002893872,0.0003570105,0.0003236542,0.0001310888],"domain_scores_gemma":[0.9986179,0.0009825992,0.0001365585,0.00008654401,0.0001115927,0.00006473151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002110873,0.00005960937,0.04654929,0.00001286274,0.00002235524,0.00001098397,0.9399394,0.00001056899,0.0006565573,0.01065959,0.00009773563,0.00195991],"study_design_scores_gemma":[0.000346509,0.00007298789,0.1783025,0.0001642515,0.00003678419,2.452385e-7,0.7982247,0.002944599,0.00005857648,0.01957341,0.0001487571,0.000126762],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995926,0.0005881359,0.0003522393,0.00167567,0.00009950325,0.0004697034,0.0001063291,0.00005370409,0.0007286628],"genre_scores_gemma":[0.9988406,0.00009404268,0.0004542455,0.00002836346,0.0001269829,0.00003072083,0.0001428815,0.00001280819,0.0002693375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6047564,"threshold_uncertainty_score":0.77155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1155923429225343,"score_gpt":0.3751681610135423,"score_spread":0.259575818091008,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}